Download google-t5/t5-3b_quant_request_False_W4A16_4bit_int4.json from Intel/ld_requests: direct link, hf CLI and curl.
- Browser
- Download file 900 Bytes
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https://huggingface.co/datasets/Intel/ld_requests/resolve/0f00bf653cf2fc78a8e27b7a248a2bb055b4e8a1/google-t5/t5-3b_quant_request_False_W4A16_4bit_int4.json
- Command line
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hf download hf://datasets/Intel/ld_requests@0f00bf653cf2fc78a8e27b7a248a2bb055b4e8a1/google-t5/t5-3b_quant_request_False_W4A16_4bit_int4.json
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curl -L -o t5-3b_quant_request_False_W4A16_4bit_int4.json https://huggingface.co/datasets/Intel/ld_requests/resolve/0f00bf653cf2fc78a8e27b7a248a2bb055b4e8a1/google-t5/t5-3b_quant_request_False_W4A16_4bit_int4.json
900 Bytes
| {"job_type": "quantization & evaluation", "model": "google-t5/t5-3b", "revision": "main", "private": false, "params": 2.85, "architectures": "T5WithLMHeadModel", "num_layers": 24, "input_dtype": "float16", "input_bits": 16, "model_params": 2.85, "model_weight_gb": 11.41, "quant_scheme": "INT4 (W4A16)", "quant_precision": "4bit", "quant_weight_dtype": "int4", "quant_bits": 4, "quant_memory_gb": 1.24, "quant_gpu_type": "NVIDIA GeForce RTX 4090", "quant_gpu_nums": 1, "eval_memory_gb": 1.71, "eval_gpu_type": "NVIDIA GeForce RTX 4090", "eval_gpu_nums": 1, "quant_model_size_gb": 1.43, "hardware": "NVIDIA GeForce RTX 4090", "gpu_nums": 1, "script": "auto_quant", "status": "Pending", "submitted_time": "2026-04-29T12:46:58Z", "model_type": "quantization", "job_id": -1, "job_start_time": null, "likes": 52, "license": "apache-2.0", "still_on_hub": true, "tags": [], "downloads": 0, "created_at": ""} |